Investor's Corner
Tesla posts another profitable quarter in Q4, Model 3 in focus for global rollout
Tesla’s (NASDAQ:TSLA) fourth-quarter and full year 2018 earnings saw the Silicon Valley-based electric car maker beat Wall Street revenue estimates after posting $7.2 billion in revenue but fall below earnings estimates with a GAAP profit of $139 million due to a $54 million charge attributable to non-controlling interests.
Profitability
Tesla posted a smaller profit this quarter, as lower-priced variants of Model 3 hit the market, yet the company managed to meet the bold and ambitious target set by Elon Musk after Q3 2018’s surprise profit. It should be noted that Tesla’s second consecutive profitable quarter did not come easy for the carmaker, with the company having to trim its workforce by 7% amidst its continued efforts to bring the $35,000 base Model 3 to market. That said, the company’s fourth-quarter results did echo Musk’s estimates posted in an email to Tesla employees earlier this month, when he noted that Q4 would likely see a profit, though not as notable as the third quarter.
“As we improve the production rate of Model 3, the cost per vehicle continues to decline. It is critical that we continue this trend so that we can keep increasing the affordability of Model 3 while retaining a sustainable level of profitability.” Tesla wrote in its update letter.
Tesla also notes that the recent restructuring actions will reduce the company’s costs by about $400 million annually.
In the fourth quarter, the company saw its free cash flow rise to $910 million, from the $739 million last quarter.
Revenue
The company’s revenue for the fourth quarter consisted of $6.3B in automotive revenue and $371M from its energy and battery storage business. Automotive revenue saw a slight increase of 3% compared to the previous quarter. The energy and battery storage division, on the other hand, declined by 7% compared with last quarter.
Model 3
Elon Musk was not joking when he described the Model 3 as a “bet-the-company” vehicle. Just like in the third quarter, it was the Model 3’s sales that ultimately allowed Tesla to record its second consecutive profitable quarter in Q4 — a feat deemed impossible by the company’s critics. Continuing from the momentum it gained in the third quarter, Tesla’s Model 3 broke new records in the fourth quarter, delivering 63,359 units of the electric sedan to customers. Throughout 2018, Tesla delivered a total of 145,846 Model 3, making the vehicle the best-selling luxury car in the United States for the year.
“In Q4, we delivered 63,359 Model 3 vehicles to customers in North America. In January 2019, we started to produce Model 3 vehicles for Europe and China, and the car is now fully certified for sale in these markets. The market opportunity for Model 3 in Europe and China exceeds North America based on the most recent sales of mid-sized premium sedans. Model 3 was designed from the outset for a global market, and shares more than 98% of its parts in common across its regional variants. ”
In the fourth quarter, Model 3 maintained a stable gross margin at over 20%.
Tesla expects to increase Model 3 production volumes at its Fremont factory throughout 2019 until reaching a sustained rate of 7,000 units per week by the end of the year.
“We are planning to continue to produce Model 3 vehicles at maximum production rates throughout 2019. Inclusive of Gigafactory Shanghai, where we are initially aiming for 3,000 Model 3 vehicles per week, our goal is to be able to produce 10,000 vehicles per week on a sustained basis.”
Tesla’s Q4 and Full Year 2018 Update Letter can be accessed here.
More from Elon Musk in the Q&A call
- Tesla to begin Model Y tooling this year
- Tesla veteran CFO Deepak Ahuja is leaving
- More on Tesla’s upcoming pickup truck
Elon Musk
SpaceX’s next trillion dollar bet has nothing to do with rockets, Musk tells staff
Elon Musk told SpaceX staff AI revenue will soon dwarf rockets and Starlink combined entirely.
Elon Musk told SpaceX employees this week that artificial intelligence, not rockets, will soon carry the company’s revenue. In a roughly 29 minute internal address posted on SpaceX’s X account on Tuesday, Musk said AI revenue will pass every other line of business at SpaceX “probably in September” and pull further ahead by the fourth quarter.
The numbers he gave are specific. SpaceX currently runs 1.4 gigawatts of AI compute capacity. Musk wants that at 10 gigawatts by the end of 2027, a jump he tied directly to revenue: “if we bring 10GW of AI online by the end of next year, it will be $300 billion to $500 billion a year in revenue.” He called those “big numbers,” which undersells a projection larger than what most countries produce in a year.
We made rockets reusable and are rebuilding the internet in space. The next challenge: making life multiplanetary and understanding the true nature of the universe
Watch @ElonMusk deliver a company update to @SpaceX employees pic.twitter.com/5c8rxoCQfu
— SpaceX (@SpaceX) August 11, 2026
Musk went further on where AI fits into SpaceX’s future. “Probably in four or five years, AI will be 99% of the value of SpaceX,” he told staff, adding that digital intelligence would eventually run “a trillion times” ahead of biological intelligence as computing scales. He tied that growth to the company’s founding mission, telling employees “we must win on AI, because the future is overwhelmingly AI and robots,” with the payoff meant to help fund Starship and a Mars program that increasingly runs through Terafab, the joint Tesla, SpaceX and xAI chip plant.
Elon Musk launches TERAFAB: The $25B Tesla-SpaceXAI chip factory that will rewire the AI industry
None of this is entirely new territory. SpaceX told investors much the same story during its first earnings call as a public company on August 4, where Musk moved the company’s $1 trillion revenue target up a year to 2030 and said Starlink could someday carry a majority of the world’s internet. What the all hands video adds is a hard deadline and a specific power figure Musk had not given publicly before, along with a franker pitch to his own workforce that AI, not launch cadence, is now the thing SpaceX is betting its future on.
The AI revenue itself is not coming from SpaceX training its own models. It is largely Starlink acting as the network layer for xAI’s workloads, plus SpaceX renting out compute capacity directly, the same approach behind the roughly $16 billion the company spent on AI infrastructure in a single quarter.
Musk closed the video with a pitch aimed at recruiting and retention rather than investors, telling employees that anyone who helps SpaceX win the AI race will eventually get the chance to go to the moon or Mars themselves. Whether SpaceX can turn 1.4 gigawatts into 10 in seventeen months is the more immediate question, and one that will show up in quarterly numbers well before anyone leaves Earth.
Investor's Corner
Tesla has one big financial question to answer for investors: Morgan Stanley
In a new note to investors on Tuesday, Morgan Stanley analyst Andrew Percoco said that Tesla has one big financial question to answer for investors regarding its Robotaxi rollout, Full Self-Driving software, and Optimus.
Percoco said in the note that, for the most part, investors are still very positive about the direction the company is headed. However, there are some things the firm would like to see, and they have to do with financials.
Tesla (TSLA) Q2 2026 earnings results: miss on EPS, beat on revenue
Tesla bulls are more than convinced that the company’s Full Self-Driving software is proof it can develop physical AI. Financially, however, there are still some questions, especially on elevated spending, which CEO Elon Musk said would occur as the company works to roll out Robotaxi faster and continue developing its Optimus robot.
The latter two are where Tesla will have to prove progress to investors, as Percoco writes that both projects “will require clearer evidence that Robotaxi is scaling and more tangible Optimus proof points to support the ROI on elevated capex.”
Percoco said the second quarter earnings call did not change his long-term thesis of where Tesla is positioned in the AI race, which is out in front. However, there are concerns that weaker gross margins and higher R&D spend will stress financials, and that has “sharpened our (and investors’) focus on measurable progress across Robotaxi and Optimus.”
Additionally, Robotaxi still needs to be proven with more operation in existing cities while maintaining safety but improving how many rides it gives in any given time, he said. For Optimus, Percoco wrote that he is “still looking for evidence beyond commentary around SOP.”
Morgan Stanley put Percoco in charge of covering Tesla after long-time analyst Adam Jonas transitioned to the automotive side.
Currently, Morgan Stanley has a $415 price target on Tesla and a ‘Hold’ rating on the stock. It is trading at around $330 at the time of publication, which was 2:30 P.M. on the East Coast.
Investor's Corner
SpaceX AI investment gamble will make it a big winner, firm says
SpaceX’s massive investment in AI will make it a big winner, Argus Research said after the company’s successful earnings call last week.
The firm also upgraded shares to a Buy from Hold and set a $160 price target.
SpaceX (NASDAQ: SPCX) is currently recovering from its heavy AI infrastructure investments, as it spent nearly $16 billion in Q2 alone. The company did this primarily by monetizing high-demand GPU compute capacity at a much faster pace than traditional data center economics would suggest.
Company CFO Bret Johnsen said that SpaceX would be able to pay back anything on new deployments within a year.
There are plenty of ways the company can do this:
Leasing excess compute capacity through contracts
SpaceX has already built Colossus and Colossus II, largely for its own model training. However, much of that capacity is already rented out to third parties. It already has major deals with Anthropic, Google, and Reflection AI. These partnerships are adding billions per month to SpaceX’s spreadsheet.
High utilization driven by industry-wide scarcity
The demand for advanced AI training and inference capacity continues to exceed what is available for use. SpaceX can fill new racks quickly after they come online, so the capital deployed converts into revenue with minimal idle time.
Additionally, management and outside observers have described the new compute capital as behaving more like a cost-of-goods-sold than traditional multi-year capex, especially because of this rapid monetization pattern.
Capacity has already scaled from ~0.4 GW a year to 1.4 GW annually by the end of Q2. There are targets of more than 2 GW by year-end.
High incremental margins on the rental business once capacity is online
GPU cloud providers often operate at strong gross margins. SpaceX can monetize capacity that was already partially built or can be added efficiently. This means that incremental EBITDA margins on the rental revenue are usually high. This accelerates cash recovery relative to the gross capital outlay.
Parallel monetization of its own AI software and applications
Beyond pure infrastructure rental, SpaceX also generates revenue from Grok through subscriptions and usage, from X through ads, data, and other related services, enterprise APIs, and the planned integration of the Cursor coding tools acquisition.
These application layers ride on the same compute infrastructure and provide additional high-margin streams that could offset build-out costs. AI-segment revenue overall rose sharply to about $2.6 billion in Q2, according to Motley Fool. This was driven primarily by the infrastructure contracts, but the software side is also partially responsible.
Efficient, large-scale deployment and vertical integration advantages
SpaceX has emphasized the rapid construction of power and cooling infrastructure and favorable cost-per-megawatt economics relative to industry benchmarks in some disclosures.
Combined with its ability to scale capacity aggressively and the fact that many contracts start generating revenue within months of capacity coming online, the effective payback compresses dramatically compared with more conventional multi-year data-center projects.
SpaceX’s dominant near-term recovery path will turn the AI clusters into a hyperscale-style compute rental business for other leading AI companies while still using a portion for internal models.
